Jose Lozada

PosSS
B/TS/R
Born1985-12-29
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201428AAA/AA/INTL3 orgs294.261/.311/.3413764—.259/.302/.301
201529AAA/AA/INTL3 orgs336.305/.393/.34708100—.287/.343/.320
201630AAA/INTL2 orgs277.195/.271/.2410434—.138/.159/.171
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
200822 AHagerstown Suns — 247224 481123 14472 25 214267321588 107256 196 258 32 — — — — — —
200923 AHagerstown Suns — 205186 46810 14342 41 247307301608 54301 177 276 42 — — — — — —
201024 A+Potomac Nationals — 385344 881856 21638 19 256314390703 134290 165 305 55 — — — — — —
201125 A+Potomac Nationals — 368313 802256 33698 84 256342415757 160308 199 327 58 — — — — — —
201226 AAHarrisburg Senators — 330286 691115 275610 23 241328339667 98281 178 301 68 — — — — — —
201226 INTLLeones de Ponce — 6555 10200 1153 00 182237218455 36238 232 196 19 — — — — — —
201327 AAHarrisburg Senators — 230202 42511 17534 32 208283257540 50272 237 246 36 — — — — — —
201327 INTLLeones de Ponce — 3229 8110 340 00 276344379723 103320 129 326 107 — — — — — —
201428 AAASyracuse Chiefs — 130114 27201 12301 33 237315281596 44310 239 273 45 — — — — — —
201428 AAHarrisburg Senators — 5451 19200 150 21 373385412796 39404 92 345 99 — — — — — —
201428 INTLSenadores de San Juan — 11099 23802 5240 21 232269374643 141288 225 270 69 — — — — — —
201529 AAASyracuse Chiefs — 3328 8100 560 00 286394321715 36364 1815 337 72 — — — — — —
201529 AAHarrisburg Senators — 137117 35210 16220 70 299383333717 34365 1612 323 86 — — — — — —
201529 INTLPuerto Rico — 166140 44700 15185 15 314400364764 50352 119 341 117 — — — — — —
201630 AAASyracuse Chiefs — 132121 19210 5270 11 157190190381 33202 204 168 -18 — — — — — —
201630 INTLCangrejeros de Santurce — 145120 28700 18222 32 233343292635 58283 1512 290 82 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200822 A MLEHagerstown Suns — 247229 43922 9632 25 188225271496 83237 264 216 32 — — — — — —
200923 A MLEHagerstown Suns — 205192 42710 8462 41 219257266523 47279 224 231 42 — — — — — —
201024 A+ MLEPotomac Nationals — 385351 751345 14918 19 214260316576 103252 244 249 55 — — — — — —
201125 A+ MLEPotomac Nationals — 368325 671745 211008 84 206271329600 123262 276 254 58 — — — — — —
201226 AA MLEHarrisburg Senators — 330296 691014 166810 23 233294314608 81275 215 268 68 — — — — — —
201327 AA MLEHarrisburg Senators — 230207 42511 12624 32 203260251511 48264 275 222 36 — — — — — —
201428 AAA MLESyracuse Chiefs — 130118 26201 8371 33 220276263538 42292 286 234 45 — — — — — —
201428 AA MLEHarrisburg Senators — 5451 18200 160 21 353365392758 39370 112 314 99 — — — — — —
201529 AAA MLESyracuse Chiefs — 3329 7100 470 00 241333276609 34318 2112 274 72 — — — — — —
201529 AA MLEHarrisburg Senators — 137124 37210 9260 70 298346331677 32355 197 295 86 — — — — — —
201630 AAA MLESyracuse Chiefs — 132123 17210 3340 11 138159171329 33183 262 142 -18 — — — — — —
200822 A MLEHagerstown Suns — 247229 43922 9632 25 188225271496 83247 264 216 32 — — — — — —
200822 A RAWHagerstown Suns — 247224 481123 14472 25 214267321588 107256 196 258 32 — — — — — —
200923 A MLEHagerstown Suns — 205192 42710 8462 41 219257266523 47286 224 231 42 — — — — — —
200923 A RAWHagerstown Suns — 205186 46810 14342 41 247307301608 54301 177 276 42 — — — — — —
201024 A+ MLEPotomac Nationals — 385351 751345 14918 19 214260316576 103266 244 249 55 — — — — — —
201024 A+ RAWPotomac Nationals — 385344 881856 21638 19 256314390703 134290 165 305 55 — — — — — —
201125 A+ MLEPotomac Nationals — 368325 671745 211008 84 206271329600 123279 276 254 58 — — — — — —
201125 A+ RAWPotomac Nationals — 368313 802256 33698 84 256342415757 160308 199 327 58 — — — — — —
201226 AA MLE2 teams — 395349 831215 208113 23 238304321625 83291 215 268 68 — — — — — —
201226 AA RAW2 teams — 395341 791315 287113 23 232314320634 88274 187 284 68 — — — — — —
201327 AA MLE2 teams — 262238 48611 13714 32 202255248503 46278 275 222 36 — — — — — —
201327 AA RAW2 teams — 262231 50621 20574 32 216290273563 56278 228 256 36 — — — — — —
201428 AAA MLE3 teams — 294268 68501 14701 75 254293284577 30337 245 257 60 — — — — — —
201428 AAA RAW3 teams — 294264 691203 18591 75 261311341652 80324 206 285 60 — — — — — —
201529 INTL MLE3 teams — 336295 86520 26665 85 292359322681 31369 208 291 83 — — — — — —
201529 INTL RAW3 teams — 336285 871010 36465 85 305393347740 42358 1411 333 83 — — — — — —
201630 INTL MLE2 teams — 277258 36420 6722 43 140165171336 31193 262 142 -18 — — — — — —
201630 INTL RAW2 teams — 277241 47910 23492 43 195271241511 46244 188 232 -18 — — — — — —
200822 A MLEHagerstown Suns — 247234 43922 9632 25 184225265490 81237 264 216 32 — — — — — —
200923 A MLEHagerstown Suns — 205193 42710 8462 41 218257264522 47279 224 231 42 — — — — — —
201024 A+ MLEPotomac Nationals — 385360 751345 14918 19 208260308568 100252 244 249 55 — — — — — —
201125 A+ MLEPotomac Nationals — 368336 671745 211008 84 199271318590 119262 276 254 58 — — — — — —
201226 AA MLE2 teams — 395359 831215 208113 23 231304312616 81275 215 268 68 — — — — — —
201327 AA MLE2 teams — 262243 48611 13714 32 198255243498 45264 275 222 36 — — — — — —
201428 AAA MLE3 teams — 294277 68501 14701 75 245293274568 29315 245 257 60 — — — — — —
201529 INTL MLE3 teams — 336302 86520 26665 85 285359315673 30348 208 291 83 — — — — — —
201630 INTL MLE2 teams — 277267 36420 6722 43 135165165330 30183 262 142 -18 — — — — — —
▸ Career Totals
Career— MLE — 27692505 548781719 13166045 3937 219270286556 67285 245 241 49 -168 -7 +0 +30 +60 -8.7
/ 162G— MLE — 650588 1281844 3115511 99 218270282553 65284 245 241 49 -39 -2 +0 +7 +14 -2.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2016 AAASyracuse Chiefs · 132 PAwOBA .164 → .142 (−22)K% 20.5% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.45%÷0.949×1.200——25.86%
BB% (unintentional) /PA3.79%÷1.110×0.690—×0.9622.26%
HBP% /PA0.00%—×0.940—×0.9620.00%
Singles /BIP17.02%÷1.048×0.930×1.050×0.96215.26%
Doubles /BIP2.13%÷0.959×0.830×1.050×0.9621.86%
Triples /BIP1.06%÷0.900×0.970×1.050×0.9621.16%
Home runs /BIP0.00%÷0.978×0.840—×0.9620.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .164 → .142; ISO .033 → .033; BABIP .202 → .183. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAHarrisburg Senators · 137 PAwOBA .315 → .295 (−20)K% 16.1% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.06%÷1.018×1.220——19.24%
BB% (unintentional) /PA10.95%÷1.052×0.700—×0.9486.91%
HBP% /PA0.00%—×0.850—×0.9480.00%
Singles /BIP33.68%÷0.962×0.970×1.029×0.94833.14%
Doubles /BIP2.11%÷1.070×0.860×1.029×0.9481.65%
Triples /BIP1.05%÷0.916×0.950×1.029×0.9481.07%
Home runs /BIP0.00%÷0.986×0.780—×0.9480.00%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 92, 2B 114, 3B 83, K 104, BB 110 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .315 → .295; ISO .034 → .033; BABIP .365 → .355. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAASyracuse Chiefs · 33 PAwOBA .329 → .274 (−55)K% 18.2% → 20.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷1.043×1.200——20.93%
BB% (unintentional) /PA15.15%÷0.938×0.690—×0.97210.84%
HBP% /PA0.00%—×0.940—×0.9720.00%
Singles /BIP31.82%÷1.010×0.930—×0.97228.47%
Doubles /BIP4.55%÷1.088×0.830—×0.9723.37%
Triples /BIP0.00%÷0.947×0.970—×0.9720.00%
Home runs /BIP0.00%÷1.183×0.840—×0.9720.00%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .329 → .274; ISO .036 → .027; BABIP .364 → .318. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAASyracuse Chiefs · 130 PAwOBA .268 → .234 (−34)K% 23.1% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.08%÷0.965×1.200——28.69%
BB% (unintentional) /PA9.23%÷0.972×0.690—×0.9826.43%
HBP% /PA0.77%—×0.940—×0.9820.71%
Singles /BIP28.57%÷1.003×0.930×1.050×0.98227.31%
Doubles /BIP2.38%÷1.027×0.830×1.050×0.9821.98%
Triples /BIP0.00%÷1.063×0.970×1.050×0.9820.00%
Home runs /BIP1.19%÷0.985×0.840—×0.9821.00%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .268 → .234; ISO .044 → .036; BABIP .310 → .292. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAHarrisburg Senators · 54 PAwOBA .342 → .314 (−28)K% 9.3% → 11.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.26%÷0.955×1.220——11.83%
BB% (unintentional) /PA1.85%÷1.032×0.700—×0.9581.20%
HBP% /PA0.00%—×0.850—×0.9580.00%
Singles /BIP36.96%÷0.992×0.970—×0.95834.60%
Doubles /BIP4.35%÷1.109×0.860—×0.9583.23%
Triples /BIP0.00%÷1.000×0.950—×0.9580.00%
Home runs /BIP0.00%÷0.991×0.780—×0.9580.00%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 98, 2B 122, 3B 100, K 91, BB 106 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .342 → .314; ISO .039 → .030; BABIP .404 → .370. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAHarrisburg Senators · 230 PAwOBA .243 → .222 (−21)K% 23.0% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.04%÷1.043×1.220——26.96%
BB% (unintentional) /PA7.39%÷0.990×0.700—×0.9685.06%
HBP% /PA1.74%—×0.850—×0.9681.43%
Singles /BIP23.49%÷1.011×0.970×1.050×0.96822.91%
Doubles /BIP3.36%÷0.883×0.860×1.050×0.9683.32%
Triples /BIP0.67%÷1.150×0.950×1.050×0.9680.56%
Home runs /BIP0.67%÷1.012×0.780—×0.9680.50%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 102, 2B 77, 3B 130, K 109, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .243 → .222; ISO .050 → .045; BABIP .272 → .264. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AAHarrisburg Senators · 330 PAwOBA .293 → .268 (−24)K% 17.0% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.97%÷1.006×1.220——20.57%
BB% (unintentional) /PA7.27%÷0.989×0.700—×0.9785.03%
HBP% /PA3.03%—×0.850—×0.9782.52%
Singles /BIP22.61%÷0.967×0.970×1.025×0.97822.75%
Doubles /BIP4.78%÷0.982×0.860×1.025×0.9784.20%
Triples /BIP0.43%÷1.015×0.950×1.025×0.9780.41%
Home runs /BIP2.17%÷0.976×0.780—×0.9781.70%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 93, 2B 96, 3B 103, K 101, BB 98 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .293 → .268; ISO .098 → .084; BABIP .281 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 A+Potomac Nationals · 368 PAwOBA .320 → .254 (−66)K% 18.8% → 27.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.75%÷0.974×1.420——27.33%
BB% (unintentional) /PA8.97%÷0.973×0.630—×0.9685.62%
HBP% /PA2.17%—×0.860—×0.9681.81%
Singles /BIP19.26%÷1.019×0.940×0.986×0.96816.97%
Doubles /BIP9.02%÷0.991×0.830×0.986×0.9687.21%
Triples /BIP2.05%÷0.900×0.800×0.986×0.9681.74%
Home runs /BIP2.46%÷1.045×0.900—×0.9682.05%

Factors used: league row CAR. Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 80, K 95, BB 95 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .320 → .254; ISO .160 → .129; BABIP .308 → .262. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .